At a Glance
- Tasks: Lead the migration of legacy product data into our cutting-edge PLM system.
- Company: Join Safran, a global leader in aerospace and defence, committed to innovation and sustainability.
- Benefits: Enjoy competitive salary, flexible benefits, early finishes on Fridays, and generous holiday allowance.
- Other info: Collaborative culture with opportunities for travel and professional growth.
- Why this job: Make a real impact by ensuring data quality and integrity in a dynamic engineering environment.
- Qualifications: Degree in Data Engineering or related field; experience with data migration and PLM systems.
The predicted salary is between 51750 - 63250 £ per year.
Safran is an international high-technology group operating in the fields of aerospace (propulsion, equipment and interiors), space and defense. Its mission is to contribute sustainably to a safer world, where air transport becomes ever more environmentally friendly, comfortable and accessible. Present on every continent, the Group employs 110,000 people and generated €31.3 billion in revenue in 2025. Safran holds, either independently or through partnerships, leading global or European positions in its markets. Safran was ranked second in the Aerospace & Defense sector in TIME magazine's "World's Best Companies 2025" ranking. As the world leader in aeronautical electrical systems, Safran Electrical & Power is a key player in the electrification of aircraft equipment and electric and hybrid propulsion. With expertise across the onboard energy chain, the company designs and delivers innovative, optimized and modular architectures and solutions.
Your Role
The Data Transfer Engineer is responsible for leading and delivering the migration of legacy product data into Safran Electrical Components' Product Lifecycle Management (PLM) system. This role takes ownership of the complete data migration work package, ensuring that engineering data is accurately transferred, validated, and made available within the new PLM environment. The migration scope includes a variety of legacy product data, such as 3D CAD models, engineering drawings, PDF documents, Microsoft Word files, and Excel spreadsheets. Working closely with engineering, design, and programme stakeholders, the Data Engineer will manage data preparation, cleansing, mapping, migration, and validation activities to ensure a successful transition to the PLM platform while maintaining data quality, integrity, and traceability.
- Lead and deliver the migration of legacy and in-production product data into the PLM system.
- Assess, extract, sort, cleanse, validate, and prepare product data for migration.
- Collaborate with Safran PLM teams across multiple sites to support data transfer activities.
- Ensure data preparation activities comply with SEC standards, guidelines, and procedures.
- Develop, harmonise, and improve data modelling and migration methodologies.
- Create and maintain supporting procedures, work instructions, and documentation.
- Organise and support training related to migration tools and processes.
- Monitor and report project progress through dashboards and regular status updates.
- Identify, communicate, and manage project risks, issues, and opportunities.
- Maintain and update project plans and schedules.
- Work closely with cross-functional teams to support project objectives.
- Promote and implement engineering best practices and continuous improvement initiatives.
- Ensure compliance with engineering processes and documentation requirements.
- Adhere to company Health, Safety, and Environmental policies and procedures.
- Travel within the UK, France, and internationally as required to support project and workshop activities.
Essential
- Degree or equivalent experience in Data Engineering, Mechanical Engineering, or a related discipline.
- Experience with product data migration, data management, or PLM environments.
- Knowledge of PLM systems (e.g. 3DEXPERIENCE/ENOVIA, Teamcenter, Windchill).
- Understanding of CAD data, engineering drawings, and associated databases.
- Experience in data extraction, cleansing, validation, and migration activities.
- Proficiency in Microsoft Excel and Power BI.
- Basic scripting and automation skills.
- Strong analytical, problem-solving, communication, and documentation skills.
- Experience preparing project reports and presenting to stakeholders.
- Ability to work independently and collaboratively within cross-functional teams.
Desirable
- Experience with digital twin or IoT-enabled engineering environments.
- Knowledge of data analytics, KPI reporting, and visualisation tools such as Tableau.
- Experience supporting PLM implementation or engineering data transformation projects.
Data Transfer Engineer employer: Safran UK
At Safran, we prioritise our people and offer a supportive work environment that fosters diversity, innovation, and opportunity. With an impressive range of benefits including 33 days of holiday, a leading pension scheme, and enhanced family-friendly policies, we are committed to employee growth and well-being. Join us in Cwmbran, where you can be part of a global leader in aerospace and defence, contributing to a sustainable future while enjoying a vibrant work culture and numerous engagement opportunities.
StudySmarter Expert Advice🤫
We think this is how you could land Data Transfer Engineer
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Safran UK before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Safran UK.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Safran UK.
We think you need these skills to ace Data Transfer Engineer
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Safran UK, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Safran UK, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Safran UK’s attention and show the tangible impact of your work.
How to prepare for a job interview at Safran UK
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Safran UK.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Safran UK.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Safran UK.
